Event-Triggered Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Unmeasured States and Unknown Backlash-Like Hysteresis

Zhu, Zhechen; Pan, Yingnan; Zhou, Qi; Lu, Changxin

doi:10.1109/tfuzz.2020.2973950

Cited by 152 publications

(94 citation statements)

References 55 publications

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“…Definition 3. 59 Given any initial state i (t 0 ) ∈ ℜ 2n , systems (19) are said to be globally exponentially stable provided that for ∀ t ≥ t 0 , condition…”

Section: Packet Lossesmentioning

confidence: 99%

“…a e − (t−t 0 ) || i (t 0 )||. According to Definition 3, we know that systems (19) are exponential stable, that is, e(t) → 0 as t → ∞, that is, lim…”

Section: Theorem 2 Given the Parameters Hmentioning

confidence: 99%

“…With the help of such an effective technique, the past few years have witnessed a quickly growing interest in design and analysis of T-S fuzzy-based systems. [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] To name a few, the authors in Reference 25 designed a state feedback controller by using T-S fuzzy model for networked systems subject to data missing. The reliable dissipative filtering issue was discussed for T-S fuzzy time-delay plants in Reference 26.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sampled‐data containment control for Takagi‐Sugeno fuzzy multiagent systems with packet losses

Zhang

Dong

2020

Intl J Robust & Nonlinear

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This article investigates the sampled-data containment control issue for nonlinear multiagent systems (MASs) with packet losses in the framework of Takagi-Sugeno fuzzy model. In the process of designing fuzzy sampled-data containment controller, a crucial factor, that is, asynchronous premise variables, is tackled via the proposed novel asynchronous premise rebuilding approach. Based on the fact that there may be packet losses in communication networks, the fuzzy sampled-data MAS is concerned as a switched version with two subsystems. Then, in the light of average dwell-time method and Lyapunov stability theory, sufficient conditions of designing fuzzy sampled-data containment controller are derived such that the states containment can be achieved for considered systems in spite of packet losses. Finally, both a numerical simulation and a Caltech multivehicle wireless test bed simulation are presented to confirm the effectiveness of the proposed control scheme.

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“…Definition 3. 59 Given any initial state i (t 0 ) ∈ ℜ 2n , systems (19) are said to be globally exponentially stable provided that for ∀ t ≥ t 0 , condition…”

Section: Packet Lossesmentioning

confidence: 99%

“…a e − (t−t 0 ) || i (t 0 )||. According to Definition 3, we know that systems (19) are exponential stable, that is, e(t) → 0 as t → ∞, that is, lim…”

Section: Theorem 2 Given the Parameters Hmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sampled‐data containment control for Takagi‐Sugeno fuzzy multiagent systems with packet losses

Zhang

Dong

2020

Intl J Robust & Nonlinear

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“…Over the past decades, control problem has attracted respectable attention 1‐16 . The effect of the constraints exists in many practical control systems, such as physical stoppages and chemical reactor temperature.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy finite‐time fault‐tolerant control of nonlinear systems with state constraints and input quantization

Pan

Yang

et al. 2020

Adaptive Control & Signal

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Summary This article concentrates on an adaptive finite‐time fault‐tolerant fuzzy tracking control problem for nonstrict feedback nonlinear systems with input quantization and full‐state constraints. By utilizing the fuzzy logic systems and less adjustable parameters method, the unknown nonlinear functions are addressed in each step process. In addition, a dynamic surface control technique combined with fuzzy control is introduced to tackle the variable separation problem. The problem for the effect of quantization and unlimited number of actuator faults is tackled by a damping term with smooth function in the intermediate control law. Finite‐time stability is achieved by combining barrier Lyapunov functions and backstepping method. The finite‐time controller is designed such that all the responses of the systems are semiglobal practical finite‐time stable and ensured to remain in the predefined compact sets while tracking error converges to a small neighborhood of the origin in finite time. Finally, simulation examples are utilized to testify the validity of the investigated strategy.

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“…In order to reduce the network burden and improve the utilization of energy, event‐triggered scheme is employed to decrease the number of emitted and transmitted data packets 13‐17 . The scheme is well performed on reducing the waste of resources under the premise of guaranteed performance 18‐21 . Many results have been presented to improve the performance of the scheme and generalize the applications to various systems 21‐24 .…”

Section: Introductionmentioning

confidence: 99%

Design of event‐triggered networked control systems via specific triggering quantizer

Chen

Zhang

et al. 2020

Intl J Robust & Nonlinear

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Based on a new triggering quantizer, this article studies the design of networked control systems with limited bandwidth. The design algorithm is described by the program flow diagram, which implements the functions of sampling, quantization and triggering strategy. By using a specific random variable, the effects of networked issues are captured, so as to process the design procedure. Because of the nonlinearities induced by networked issues, new methods are developed to analyze the system stability. Specifically, two design methods are proposed in order to simplify the analysis and improve the performance. Finally, simulation examples are presented to verify the proposed methods.

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Event-Triggered Adaptive Fuzzy Control for Stochastic Nonlinear Systems With Unmeasured States and Unknown Backlash-Like Hysteresis

Cited by 152 publications

References 55 publications

Sampled‐data containment control for Takagi‐Sugeno fuzzy multiagent systems with packet losses

Sampled‐data containment control for Takagi‐Sugeno fuzzy multiagent systems with packet losses

Adaptive fuzzy finite‐time fault‐tolerant control of nonlinear systems with state constraints and input quantization

Design of event‐triggered networked control systems via specific triggering quantizer

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